Enhancing policy models with exploratory analysis
By: BROOKS, Arthur C
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Contributor(s): LEWIS, Gregory B.
Material type: 
ArticlePublisher: 2002Journal of Public Administration Research and Theory 12, 1, p. 129-136Abstract: Traditional empirical policy analysis generally takes up to three pieces of information from regression results: the statistical significance, direction, and (in some cases) size of the impacts of policy variables on thje outcome of interest. In this article we introduce a policy modeling technique called exploratory analysis, which can squeeze additional information from regression results, allowing decision markers to find combinations of interventions that achieve particular objectives. We provide a brief primer on this technique, employing as an example a binary choise model on private charitable giving in Russia
| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Periódico | Biblioteca Graciliano Ramos | Periódico | Not for loan |
Traditional empirical policy analysis generally takes up to three pieces of information from regression results: the statistical significance, direction, and (in some cases) size of the impacts of policy variables on thje outcome of interest. In this article we introduce a policy modeling technique called exploratory analysis, which can squeeze additional information from regression results, allowing decision markers to find combinations of interventions that achieve particular objectives. We provide a brief primer on this technique, employing as an example a binary choise model on private charitable giving in Russia
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